AutoML Leaderboard

Best model name model_type metric_type metric_value train_time
1_DecisionTree Decision Tree rmse 0.17655 0.68
2_Baseline Baseline rmse 0.705007 0.69
3_DecisionTree Decision Tree rmse 0.169124 0.66
4_DecisionTree Decision Tree rmse 0.169124 0.65
5_Linear Linear rmse 0.185766 0.67
6_Default_Xgboost Xgboost rmse 0.148858 0.79
7_Default_NeuralNetwork Neural Network rmse 0.149428 0.77
8_Default_RandomForest Random Forest rmse 0.115134 1.06
9_Xgboost Xgboost rmse 0.133685 0.85
18_RandomForest Random Forest rmse 0.120136 1.03
27_NeuralNetwork Neural Network rmse 0.170187 0.79
10_Xgboost Xgboost rmse 0.157346 0.79
19_RandomForest Random Forest rmse 0.133101 1.19
28_NeuralNetwork Neural Network rmse 0.168559 0.77
11_Xgboost Xgboost rmse 0.188765 0.86
20_RandomForest Random Forest rmse 0.131749 1.13
29_NeuralNetwork Neural Network rmse 0.182241 0.75
12_Xgboost Xgboost rmse 0.700421 0.78
21_RandomForest Random Forest rmse 0.155729 1.05
30_NeuralNetwork Neural Network rmse 0.170635 0.73
13_Xgboost Xgboost rmse 0.274347 0.9
22_RandomForest Random Forest rmse 0.117702 1.03
31_NeuralNetwork Neural Network rmse 0.228088 0.73
14_Xgboost Xgboost rmse 0.150953 0.8
23_RandomForest Random Forest rmse 0.135651 1.1
32_NeuralNetwork Neural Network rmse 0.207833 0.75
15_Xgboost Xgboost rmse 0.148054 0.82
24_RandomForest Random Forest rmse 0.167455 1.41
33_NeuralNetwork Neural Network rmse 0.227885 0.76
16_Xgboost Xgboost rmse 0.182733 0.8
25_RandomForest Random Forest rmse 0.134702 1.05
34_NeuralNetwork Neural Network rmse 0.451462 0.77
17_Xgboost Xgboost rmse 0.174338 0.84
26_RandomForest Random Forest rmse 0.127359 1.08
35_NeuralNetwork Neural Network rmse 0.243122 0.76
8_Default_RandomForest_GoldenFeatures Random Forest rmse 0.123566 7.67
22_RandomForest_GoldenFeatures Random Forest rmse 0.136833 1.46
18_RandomForest_GoldenFeatures Random Forest rmse 0.135679 1.12
8_Default_RandomForest_KMeansFeatures Random Forest rmse 0.12095 1.28
22_RandomForest_KMeansFeatures Random Forest rmse 0.118526 1.25
18_RandomForest_KMeansFeatures Random Forest rmse 0.118778 1.23
8_Default_RandomForest_RandomFeature Random Forest rmse 0.119407 5.55
36_RandomForest Random Forest rmse 0.115134 1.53
37_RandomForest Random Forest rmse 0.114405 1.09
38_RandomForest Random Forest rmse 0.164353 1.09
39_RandomForest Random Forest rmse 0.117702 1.13
40_RandomForest Random Forest rmse 0.118526 1.24
41_RandomForest Random Forest rmse 0.125044 1.79
42_Xgboost Xgboost rmse 0.132654 1.06
43_Xgboost Xgboost rmse 0.134524 0.96
44_Xgboost Xgboost rmse 0.149779 0.92
45_Xgboost Xgboost rmse 0.146899 0.9
46_Xgboost Xgboost rmse 0.149926 0.89
47_NeuralNetwork Neural Network rmse 0.263983 0.81
48_NeuralNetwork Neural Network rmse 0.159261 0.83
49_NeuralNetwork Neural Network rmse 0.173453 0.88
50_NeuralNetwork Neural Network rmse 0.194293 0.82
51_DecisionTree Decision Tree rmse 0.141352 0.75
52_RandomForest Random Forest rmse 0.116809 1.13
53_RandomForest Random Forest rmse 0.114405 1.18
54_RandomForest Random Forest rmse 0.116578 1.16
55_RandomForest Random Forest rmse 0.115134 1.17
56_RandomForest Random Forest rmse 0.116578 1.21
57_RandomForest Random Forest rmse 0.115134 1.2
58_Xgboost Xgboost rmse 0.165005 0.93
59_Xgboost Xgboost rmse 0.164295 0.94
60_Xgboost Xgboost rmse 0.164177 0.94
61_NeuralNetwork Neural Network rmse 0.152606 0.86
62_NeuralNetwork Neural Network rmse 0.241705 0.86
63_NeuralNetwork Neural Network rmse 0.265339 0.87
64_NeuralNetwork Neural Network rmse 0.215439 0.89
the best Ensemble Ensemble rmse 0.0971189 8.26

AutoML Performance

AutoML Performance

AutoML Performance Boxplot

AutoML Performance Boxplot

Spearman Correlation of Models

models spearman correlation